Rough Guide to Set up Data Feed for Poison Center Data in Your State

The Oregon ESSENCE team has developed a guide for other states to use to set up a web service link to their poison center and extract its data into ESSENCE. It contains advice based on Oregon’s experience in developing its link with its poison center and NDPS, a plug-&-play (almost) Rhapsody configuration file (and instructions) to install, and data dictionaries provided by NPDS.

The publication date is February 1, 2019.

January 31, 2019

BioSense Platform: Introduction to SAS Studio Basics

Presented December 4, 2018.

The Webinar, Introduction of SAS Studio Basics to the BioSense Platform, will include overviews, summaries, tips, tricks, and examples across a number of SAS topics on the BioSense Platform. Some of these topics will include the BioSense Platform SAS Pilot background and summary, the SAS Studio overview and setup, neat SAS features, code examples, and how to perform an API call from ESSENCE.

Presenters

Roseanne English, BS, Analytic Data Management Lead, CDC 

December 06, 2018

ESSENCE: Free Text Query Negation

Free text queries are performed by ESSENCE users very often. And increasingly, those free text queries are incorporating negation terms that allow the users to find case definitions when certain terms are not present. This video attempts to explain some of the special cases where negation in free text queries may be confusing for users. The video will mention some features in ESSENCE that you may not be familiar with like the Explain Query button and Advanced Query Tool (AQT).

November 29, 2018

ESSENCE Q & A v3.0

Held September 13, 2018.

Aaron Kite-Powell, M.S., from CDC and Wayne Loschen, M.S., from JHU-APL were available during this 60-minute session to provide updates on the ESSENCE platform as well as tips and tricks to make it more useful for members. Attendees came prepared with questions regarding ESSENCE functions, capabilities and uses.

September 26, 2018

ESSENCE Q & A v2.0

Presented March 27, 2018.

During this 90-minute session, Aaron Kite-Powell, M.S., from CDC and Wayne Loschen, M.S., from JHU-APL provided an overview of tips and tricks in ESSENCE and answered questions from the audience regarding ESSENCE functions, capabilities and uses.

March 27, 2018

Free-Text Mining to Improve Syndrome Definition Matching Across Emergency Departments

Standard syndrome definitions for ED visits in ESSENCE rely on chief complaints. Visits with more words in the chief complaint field are more likely to match syndrome definitions. While using ESSENCE, we observed geographic differences in chief complaint length, apparently related to differences in electronic health record (EHR) systems, which resulted in disparate syndrome matching across Idaho regions.

January 21, 2018

Correlation of Tweets Mentioning Influenza Illness and Traditional Surveillance Data

The use of social media as a syndromic sentinel for diseases is an emerging field of growing relevance as the public begins to share more online, particularly in the area of influenza. Several applications have been developed to predict or monitor influenza activity using publicly posted or self-reported online data; however, few have prioritized accuracy at the local level. In 2016, the Cook County Department of Public Health (CCDPH) collected localized Twitter information to evaluate its utility as a potential influenza sentinel data source.

January 21, 2018

Improving Timeliness of Georgia Emergency Room Data

Timeliness of emergency room (ER) data is arguably its strongest attribute in terms of its contribution to disease surveillance. Timely data analyses may improve the efficacy of prevention and control measures. There are a number of studies that have looked at timeliness prior to the advent of Meaningful Use, and these studies note that ER data were not fast enough for them to be useful in real time2,3. However, the change in messaging practices in the Meaningful Use era potentially changes this.

January 21, 2018

Tracking suspected heroin overdoses in CDC's National Syndromic Surveillance Program

Overdose deaths involving opioids (i.e., opioid pain relievers and illicit opioids such as heroin) accounted for at least 63% (N = 33,091) of overdose deaths in 2015. Overdose deaths related to illicit opioids, heroin and illicitly-manufactured fentanyl, have rapidly increased since 2010. For instance, heroin overdose deaths quadrupled from 3,036 in 2010 to 12,989 in 2015. Unfortunately, timely response to emerging trends is inhibited by time lags for national data on both overdose mortality via vital statistics (8-12 months) and morbidity via hospital discharge data (over 2 years).

January 21, 2018

Tracking drug-related overdoses at the local level: Using Syndromic Surveillance in the CO-NCR

The United States is in the midst of a drug crisis; drug-related overdoses are the leading cause of unintentional death in the country. In Colorado the rate of fatal drug overdose increased 68% from 2002-2014 (9.7 deaths per 100,000 to 16.3 per 100,000, respectively), and non-fatal overdose also increased during this time period (23% increase in emergency department visits since 2011).

January 25, 2018

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